Pattern Recognition for Neuroimaging Toolbox (PRoNTo)

PRoNTo (Pattern Recognition for Neuroimaging Toolbox) is a software toolbox based on pattern recognition techniques for the analysis of neuroimaging data. Statistical pattern recognition is a field within the area of machine learning which is concerned with automatic discovery of regularities in data through the use of computer algorithms, and with the use of these regularities to take actions such as classifying the data into different categories. In PRoNTo, brain scans are treated as spatial patterns and statistical learning models are used to identify statistical properties of the data that can be used to discriminate between experimental conditions or groups of subjects (classification models) or to predict a continuous measure (regression models).

PRoNTo aims to facilitate the interaction between machine learning and neuroimaging communities. On one hand, the machine learning community can contribute to the toolbox with novel machine learning models. On the other hand, the toolbox provides a variety of tools for the neuroscience and clinical neuroscience communities, enabling them to ask new questions that cannot be easily investigated using existing software and analysis tools.

News

30/05/2018 - Come see us at OHBM 2018: We'll present a demo on Wednesday June 20th, 12.45 - 14.45 in Hall 401-403 in addition to our poster (#2299). There will also be a short talk in the OpenScienceRoom (TBA).

30/05/2018 - Tutorial for users and developers at PRNI 2018: National University of Singapore, June 14th 10am - 12.30am.